#!/usr/bin/env python3
# -*- coding: utf-8 -*-

######################### 分布式进程 #########################

import random, time, queue
from multiprocessing.managers import BaseManager
# from multiprocessing import freeze_support

# 发送任务的队列
task_queue = queue.Queue()
def get_task():
	return task_queue

# 接收结果的队列
result_queue = queue.Queue()
def get_result():
	return result_queue

# 从BaseManager继承的QueueManager
class QueueManager(BaseManager):
	pass

def start_server():
	# 把两个Queue都注册到网络上, callable参数关联了Queue对象
	QueueManager.register('get_task_queue', callable = get_task)
	QueueManager.register('get_result_queue', callable = get_result)

	# 绑定端口5000, 设置验证码'abc'
	manager = QueueManager(address=('127.0.0.1', 5000), authkey = b'abc')

	# 启动Queue
	manager.start()

	# 获得通过网络访问的Queue对象
	task = manager.get_task_queue()
	result = manager.get_result_queue()

	# 放几个任务进去
	for i in range(10):
		n = random.randint(0, 10000)
		print('Put task %d' % n)
		task.put(n)

	# 从result队列读取结果
	print('Try get results...')
	for i in range(10):
		r = result.get(timeout = 10)
		print('Result: %s' % r)

	#关闭
	manager.shutdown()
	print('manager exit')


if __name__ == '__main__':
	start_server()